Triple
T8714924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Altstadt-Lehel |
E206869
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Maximilianstraße |
E753861
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Maximilianstraße | Statement: [Altstadt-Lehel, contains, Maximilianstraße]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maximilianstraße Context triple: [Altstadt-Lehel, contains, Maximilianstraße]
-
A.
Maximilianstraße
chosen
Maximilianstraße is one of Munich’s most famous boulevards, known for its luxury boutiques, grand architecture, and cultural landmarks.
-
B.
Friedrichstraße
Friedrichstraße is a major central Berlin transport hub and historic thoroughfare known for its shopping, cultural venues, and role as a former border crossing during the Cold War.
-
C.
Ludwigstraße
Ludwigstraße is a grand, historic boulevard in Munich, Germany, known for its monumental 19th-century architecture and role as one of the city’s main north–south axes.
-
D.
Hermannstraße
Hermannstraße is a Berlin railway and U-Bahn station in the Neukölln district that serves as a key interchange point on the city’s Ringbahn network.
-
E.
Prinzenstraße
Prinzenstraße is a Berlin U-Bahn station on line U1 located in the Kreuzberg district.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca83572d4881909bef3be2b578d539 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5cd6707c819092c9fca34f273d5e |
completed | March 31, 2026, 11:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf42998df88190a6eba28c2efb2030 |
completed | April 3, 2026, 4:31 a.m. |
Created at: March 30, 2026, 6:35 p.m.